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Variational Inference

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TitleStatusHype
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Latent Time Neural Ordinary Differential Equations—0
Surrogate Likelihoods for Variational Annealed Importance Sampling—0
Information Field Theory and Artificial Intelligence—0
Hierarchical Variational Memory for Few-shot Learning Across DomainsCode0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer—0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data—0
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks—0
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Latent Matters: Learning Deep State-Space Models—0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Continuous-time edge modelling using non-parametric point processes—0
Learning to Learn Dense Gaussian Processes for Few-Shot Learning—0
Modified Frank Wolfe in Probability Space—0
Probabilistic Tensor Decomposition of Neural Population Spiking ActivityCode0
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
Variational Continual Bayesian Meta-Learning—0
Collapsed Variational Bounds for Bayesian Neural NetworksCode0
Functional Variational Inference based on Stochastic Process Generators—0
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